摘要
针对传统自适应波束形成技术形成的零陷较窄,可能引起无法准确对准干扰方向而产生抑制失效的问题,提出了一种基于混沌遗传算法(Chaos-Genetic Algorithm,CGA)的宽零陷波束赋形方法。该方法通过建立宽零陷波束赋形数学模型,采用融合混沌技术的遗传算法进行优化;利用混沌序列初始化粒子位置,并在遗传交叉算子中引入变尺度混沌扰动项,增强种群多样性和跳出局部最优的能力,实现全局和局部搜索能力的提高,有效提高收敛精度和加快收敛速度。仿真结果验证了采用新方法能够在预定位置形成较深的宽零陷,具有较好的稳健性。
The traditional adaptive beamforming technique can only achieve narrow null steering and also suffers from interference suppression failure when the position of the coherent interference moves,a new method is proposed to implement pattern synthesis with broad nulls by genetic algorithm(GA).In order to overcome the limitation of slow convergence and sensitivity to local convergence,the chaos search technique is introduced into GA by combining the chaos initialization and perturbation with operations of GA.The high precision and good ergodicity of chaos search can increase GA’s convergence speed and solution quality.The experimental results show the effectiveness of the proposed method.
作者
周强锋
ZHOU Qiangfeng(China Airborne Missile Academy, Luoyang 471009, China;Aviation Key Laboratory of Science and Technology on Airborne Guided Weapons, Luoyang 471009, China)
出处
《雷达科学与技术》
北大核心
2020年第3期262-266,共5页
Radar Science and Technology
关键词
阵列天线
宽零陷
波束赋形
混沌
遗传算法
array antenna
wide nulls
beamforming
chaos
genetic algorithm
